[Docs] Update docs for gemma3 and VLM chat templates (#4674)

docs/backend/openai_api_vision.ipynb

@@ -10,10 +10,13 @@
     "A complete reference for the API is available in the [OpenAI API Reference](https://platform.openai.com/docs/guides/vision).\n",
     "This tutorial covers the vision APIs for vision language models.\n",
     "\n",
-    "SGLang supports vision language models such as Llama 3.2, LLaVA-OneVision, and QWen-VL2  \n",
+    "SGLang supports various vision language models such as Llama 3.2, LLaVA-OneVision, Qwen2.5-VL, Gemma3 and [more](https://docs.sglang.ai/references/supported_models): \n",
     "- [meta-llama/Llama-3.2-11B-Vision-Instruct](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct)  \n",
     "- [lmms-lab/llava-onevision-qwen2-72b-ov-chat](https://huggingface.co/lmms-lab/llava-onevision-qwen2-72b-ov-chat)  \n",
-    "- [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct)  \n",
+    "- [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct)\n",
+    "- [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it)\n",
+    "- [openbmb/MiniCPM-V](https://huggingface.co/openbmb/MiniCPM-V)\n",
+    "- [deepseek-ai/deepseek-vl2](https://huggingface.co/deepseek-ai/deepseek-vl2)\n",
     "\n",
     "As an alternative to the OpenAI API, you can also use the [SGLang offline engine](https://github.com/sgl-project/sglang/blob/main/examples/runtime/engine/offline_batch_inference_vlm.py)."
    ]
@@ -26,7 +29,7 @@
     "\n",
     "Launch the server in your terminal and wait for it to initialize.\n",
     "\n",
-    "**Remember to add** `--chat-template llama_3_vision` **to specify the vision chat template, otherwise the server only supports text, and performance degradation may occur.**\n",
+    "**Remember to add** `--chat-template llama_3_vision` **to specify the [vision chat template](https://docs.sglang.ai/backend/openai_api_vision.html#Chat-Template), otherwise, the server will only support text (images won’t be passed in), which can lead to degraded performance.**\n",
     "\n",
     "We need to specify `--chat-template` for vision language models because the chat template provided in Hugging Face tokenizer only supports text."
    ]
@@ -259,7 +262,10 @@
     "We list popular vision models with their chat templates:\n",
     "\n",
     "- [meta-llama/Llama-3.2-Vision](https://huggingface.co/meta-llama/Llama-3.2-11B-Vision-Instruct) uses `llama_3_vision`.\n",
-    "- [Qwen/Qwen2-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2-VL-7B-Instruct) uses `qwen2-vl`.\n",
+    "- [Qwen/Qwen2.5-VL-7B-Instruct](https://huggingface.co/Qwen/Qwen2.5-VL-7B-Instruct) uses `qwen2-vl`.\n",
+    "- [google/gemma-3-4b-it](https://huggingface.co/google/gemma-3-4b-it) uses `gemma-it`.\n",
+    "- [openbmb/MiniCPM-V](https://huggingface.co/openbmb/MiniCPM-V) uses `minicpmv`.\n",
+    "- [deepseek-ai/deepseek-vl2](https://huggingface.co/deepseek-ai/deepseek-vl2) uses `deepseek-vl2`.\n",
     "- [LlaVA-OneVision](https://huggingface.co/lmms-lab/llava-onevision-qwen2-7b-ov) uses `chatml-llava`.\n",
     "- [LLaVA-NeXT](https://huggingface.co/collections/lmms-lab/llava-next-6623288e2d61edba3ddbf5ff) uses `chatml-llava`.\n",
     "- [Llama3-LLaVA-NeXT](https://huggingface.co/lmms-lab/llama3-llava-next-8b) uses `llava_llama_3`.\n",

docs/references/supported_models.md

@@ -3,7 +3,7 @@
 ## Generative Models
 - Llama / Llama 2 / Llama 3 / Llama 3.1 / Llama 3.2 / Llama 3.3
 - Mistral / Mixtral / Mistral NeMo / Mistral Small 3
-- Gemma / Gemma 2
+- Gemma / Gemma 2 / Gemma3
 - Qwen / Qwen 2 / Qwen 2 MoE / Qwen 2 VL / Qwen 2.5 VL
 - DeepSeek / DeepSeek 2 / [DeepSeek 3](https://github.com/sgl-project/sglang/tree/main/benchmark/deepseek_v3)
 - OLMoE